Government organizations use data to create valuable insights about their services, operations, resources and, increasingly, to make data available to citizens. To drive innovation, uncover efficiencies, and help refine processes, agencies are modernizing their operations and seeking new ways to use intelligent data. By moving to the cloud, agencies can take advantage of the most advanced technology available while eliminating the upfront capital expense of buying hardware and software, and removing the burden of software setup, maintenance, and upgrades.  

But volumes of legacy data that reside on-premises and in the cloud tend to be siloed, poorly integrated, and lacking governance. Moving to the cloud doesn’t solve the integration and management challenges of digital transformation, it amplifies them—exponentially. Unfortunately, defaulting to traditional data and application integration techniques designed for legacy on-premises data warehouses and applications won’t work for cloud. If agencies plan on gathering, storing, and integrating massive amounts of different data types from various sources and want to support multiple new and unique integration patterns—including real-time application integration, data synchronization, and more—they will need a cloud-native, automated, intelligent, and comprehensive solution. 

Join us in this session to learn from your peers of leaders and experts to discuss the challenges, discuss 

success stories and implementing strategies on growing your enterprises analytic maturity.